Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2007.07876.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:25:28.303493Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T06:57:27.832583Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 776641db-f322-46dd-a4a2-f70fb83017ad · inbound
Adaptive Data Augmentation for Thompson Sampling cites this paper.
Adaptive Data Augmentation for Thompson Sampling Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:25:28.303493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff1bbcae-a8be-491b-bf27-4df3d8b700a0 · inbound
Collaborative Contextual Bayesian Optimization cites this paper.
Collaborative Contextual Bayesian Optimization Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:56:31.581350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4c2795f1-68fb-4036-a2f4-fdc823738ef5 · inbound
Model-Based Reinforcement Learning with Double Oracle Efficiency in Policy Optimization and Offline Estimation cites this paper.
Model-Based Reinforcement Learning with Double Oracle Efficiency in Policy Optimization and Offline Estimation Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T15:16:05.218376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7893f4e3-5c62-4164-af38-28e1d1053780 · inbound
Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds cites this paper.
Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:57:27.835791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 01883a69-2110-459b-a96c-6248783e98c0 · inbound
Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles cites this paper.
Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T17:37:57.149787Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.